Data engineeringData engineers create the perfect environment to facilitate the flow of data from collection to insight. They construct pipelines, infrastructure, and the mechanisms that allow data scientists to do their jobs without troubleshooting their tools. As big data becomes more important, companies are looking to hire more positions in data engineering to support insights. Where data scientists create the algorithms that process data, data engineers ensure that the infrastructure is in place. This includes building and maintaining data warehouses or data lakes to store datasets, leveraging SQL to enable queries in relational databases, and understanding software engineering best practices to maintain the best environment. Data engineering skills ensure that data modeling and data processing happen smoothly.It’s perfect for people who work at a company with several data sources and don’t have a clear idea of how to use all those data sources in a scalable way. Be the first one to introduce these techniques to your company and become the company star employee. Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages.Data Engineers Key Skills